Yuhang Li
I am a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), working in the Bio- and Nano-photonics Lab under the mentorship of Prof. Aydogan Ozcan. Before joining UCLA, I received my B.Eng. in Optical Science and Engineering from Zhejiang University in 2021.
My research lies at the intersection of machine learning, computational imaging, and optical systems. I develop learning-based imaging and perception methods that jointly optimize physical hardware and computational algorithms, spanning computer vision, image processing, optical-digital co-design, and hardware-in-the-loop optimization. My work includes machine-centric imaging, computational imaging, optical neural networks, generative models, and reinforcement-learning-based optimization of physical systems.
My work has been published in journals including Nature, Science, Light: Science & Applications, Advanced Photonics, Nature Communications, and Science Advances, and has been cited over 1,300 times (h-index: 18).
selected publications
- LSA
Model-free optical processors using in situ reinforcement learning with proximal policy optimizationLight: Science & Applications, 2026 - Light Adv. Manuf.Quantitative phase imaging (QPI) through random diffusers using a diffractive optical networkLight: Advanced Manufacturing, 2023
news
| Sep 15, 2026 | Completed my Research Scientist Internship at Meta Reality Labs (Redmond, WA), where I worked on imaging and deep learning. |
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| Jan 15, 2026 | Our paper on model-free optical processors using in situ reinforcement learning was published in Light: Science & Applications! 🔦 |
| Aug 27, 2025 | Our work on optical generative models was published in Nature! ✨ |
| Oct 15, 2024 | I was selected as a finalist in the Emil Wolf Outstanding Student Paper Competition at Frontiers in Optics + Laser Science (FiO LS) 2024. |
| Mar 15, 2024 | I advanced to doctoral candidacy at UCLA. 🎓 |